IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v28y2000i4p478-488.html
   My bibliography  Save this article

Advance notice of real-time electricity prices

Author

Listed:
  • Thomas Taylor
  • Peter Schwarz

Abstract

Many utilities are offering real-time pricing (RTP) to their large industrial customers. Under RTP, hourly rates change with real-time supply and demand. As compared to fixed rates, RTP shifts price risk from the utility to the customer. With such a change, it is natural to ask if there is an optimal level of advance notice of prices. This paper contains a simulation of real-time rates for industrial customers with and without advance notice of prices. Advance notice is valuable to customers who can increase elasticity of substitution. This value must be weighed against the cost to the electric utility from an increase in demand forecast error. The simulation suggests that day-ahead advance notice increases welfare for reasonable magnitudes of customer elasticity and utility forecast error. Copyright International Atlantic Economic Society 2000

Suggested Citation

  • Thomas Taylor & Peter Schwarz, 2000. "Advance notice of real-time electricity prices," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 28(4), pages 478-488, December.
  • Handle: RePEc:kap:atlecj:v:28:y:2000:i:4:p:478-488
    DOI: 10.1007/BF02298399
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02298399
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02298399?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Herriges, Joseph A, et al, 1993. "The Response of Industrial Customers to Electric Rates Based upon Dynamic Marginal Costs," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 446-454, August.
    2. Gale, Ian L & Holmes, Thomas J, 1993. "Advance-Purchase Discounts and Monopoly Allocation of Capacity," American Economic Review, American Economic Association, vol. 83(1), pages 135-146, March.
    3. Green, Richard J & Newbery, David M, 1992. "Competition in the British Electricity Spot Market," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 929-953, October.
    4. Wen, Shiow-Ying & Tschirhart, John, 1997. "Non Utility Power, Alternative Regulatory Regimes and Stranded Investment," Journal of Regulatory Economics, Springer, vol. 12(3), pages 291-310, November.
    5. Mak, Juliet C. & Chapman, Bruce R., 1993. "A survey of current real-time pricing programs," The Electricity Journal, Elsevier, vol. 6(7), pages 76-77.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pascal Courty & Mario Pagliero, 2011. "Does responsive pricing smooth demand shocks?," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4707-4721.
    2. James Cochell & Peter Schwarz & Thomas Taylor, 2012. "Using real-time electricity data to estimate response to time-of-use and flat rates: an application to emissions," Journal of Regulatory Economics, Springer, vol. 42(2), pages 135-158, October.
    3. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert H. Patrick & Frank A. Wolak, 2001. "Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices," NBER Working Papers 8213, National Bureau of Economic Research, Inc.
    2. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    3. Megy, Camille & Massol, Olivier, 2023. "Is Power-to-Gas always beneficial? The implications of ownership structure," Energy Economics, Elsevier, vol. 128(C).
    4. Newbery, David M. & Greve, Thomas, 2017. "The strategic robustness of oligopoly electricity market models," Energy Economics, Elsevier, vol. 68(C), pages 124-132.
    5. Moritz Bohland & Sebastian Schwenen, 2020. "Technology Policy and Market Structure: Evidence from the Power Sector," Discussion Papers of DIW Berlin 1856, DIW Berlin, German Institute for Economic Research.
    6. Fabra, Natalia & Toro, Juan, 2005. "Price wars and collusion in the Spanish electricity market," International Journal of Industrial Organization, Elsevier, vol. 23(3-4), pages 155-181, April.
    7. Fiuza de Bragança, Gabriel Godofredo & Daglish, Toby, 2016. "Can market power in the electricity spot market translate into market power in the hedge market?," Energy Economics, Elsevier, vol. 58(C), pages 11-26.
    8. Bonacina, Monica & Gulli`, Francesco, 2007. "Electricity pricing under "carbon emissions trading": A dominant firm with competitive fringe model," Energy Policy, Elsevier, vol. 35(8), pages 4200-4220, August.
    9. Bowei Guo & Giorgio Castagneto Gissey, 2019. "Cost Pass-through in the British Wholesale Electricity Market: Implications of Brexit and the ETS reform," Working Papers EPRG1937, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    10. Marino, Marianna & Parrotta, Pierpaolo & Valletta, Giacomo, 2019. "Electricity (de)regulation and innovation," Research Policy, Elsevier, vol. 48(3), pages 748-758.
    11. Zugang Liu & Anna Nagurney, 2009. "An integrated electric power supply chain and fuel market network framework: Theoretical modeling with empirical analysis for New England," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(7), pages 600-624, October.
    12. Escobari, Diego, 2014. "Estimating dynamic demand for airlines," Economics Letters, Elsevier, vol. 124(1), pages 26-29.
    13. Jun Honda, 2015. "Games with the Total Bandwagon Property," Department of Economics Working Papers wuwp197, Vienna University of Economics and Business, Department of Economics.
    14. Pio Baake & Sebastian Schwenen & Christian von Hirschhausen, 2020. "Local Power Markets," Discussion Papers of DIW Berlin 1904, DIW Berlin, German Institute for Economic Research.
    15. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Forecasting electricity prices: The impact of fundamentals and time-varying coefficients," International Journal of Forecasting, Elsevier, vol. 24(4), pages 764-785.
    16. Holmberg, Pär & Newbery, David & Ralph, Daniel, 2013. "Supply function equilibria: Step functions and continuous representations," Journal of Economic Theory, Elsevier, vol. 148(4), pages 1509-1551.
    17. Marco Sahm, 2020. "Advance-Purchase Financing of Projects with Few Buyers," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 909-933, December.
    18. Justin P. Johnson & David P. Myatt, 2003. "Multiproduct Quality Competition: Fighting Brands and Product Line Pruning," American Economic Review, American Economic Association, vol. 93(3), pages 748-774, June.
    19. Huurman, C. & Huisman, R., 2004. "Being in Balance: Economic Efficiency in the Dutch Power Market," ERIM Report Series Research in Management ERS-2004-065-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:atlecj:v:28:y:2000:i:4:p:478-488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.